A systematic literature review of student'performance prediction using machine learning techniques

B Albreiki, N Zaki, H Alashwal - Education Sciences, 2021 - mdpi.com
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

Predicting student performance using data mining and learning analytics techniques: A systematic literature review

A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

Predicting academic performance of students from VLE big data using deep learning models

H Waheed, SU Hassan, NR Aljohani, J Hardman… - Computers in Human …, 2020 - Elsevier
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Utilising learning analytics to support study success in higher education: a systematic review

D Ifenthaler, JYK Yau - Educational Technology Research and …, 2020 - Springer
Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …

Student performance analysis and prediction in classroom learning: A review of educational data mining studies

A Khan, SK Ghosh - Education and information technologies, 2021 - Springer
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance

I Issah, O Appiah, P Appiahene, F Inusah - Decision analytics journal, 2023 - Elsevier
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

Student retention using educational data mining and predictive analytics: a systematic literature review

DA Shafiq, M Marjani, RAA Habeeb… - IEEE Access, 2022 - ieeexplore.ieee.org
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …

Predicting student performance in higher educational institutions using video learning analytics and data mining techniques

R Hasan, S Palaniappan, S Mahmood, A Abbas… - Applied Sciences, 2020 - mdpi.com
Technology and innovation empower higher educational institutions (HEI) to use different
types of learning systems—video learning is one such system. Analyzing the footprints left …